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PeppoCola
/
FewShotIssueClassifier-NLBSE23

Sentence Similarity
sentence-transformers
PyTorch
Safetensors
English
mpnet
Text Classification
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use PeppoCola/FewShotIssueClassifier-NLBSE23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use PeppoCola/FewShotIssueClassifier-NLBSE23 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("PeppoCola/FewShotIssueClassifier-NLBSE23")
    
    sentences = [
        "That is a happy person",
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
FewShotIssueClassifier-NLBSE23
877 MB
Ctrl+K
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  • 2 contributors
History: 6 commits
PeppoCola's picture
PeppoCola
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
e4f7e60 verified 12 months ago
  • 1_Pooling
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  • 2_Normalize
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  • .gitattributes
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  • README.md
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  • config.json
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  • config_sentence_transformers.json
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  • model.safetensors
    438 MB
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    Adding `safetensors` variant of this model (#1) 12 months ago
  • model_head.pkl
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  • modules.json
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  • pytorch_model.bin
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  • sentence_bert_config.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.txt
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